Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 1.1 * weight - 23
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Heeb
4
51 kgDoppmann
6
55 kgKupfernagel
8
68 kgSoeder
10
52 kgByberg
22
56 kgMartisova
23
64 kgBecker
24
64 kgBrzeźna
29
56 kgZabelinskaya
31
52 kgRossner
32
64 kgBoyarskaya
53
67 kgFernandes Silva
56
52 kgMarunde
83
58 kgPawlowska
84
60 kgMatusiak
86
58 kgHatteland Lima
90
65 kg
4
51 kgDoppmann
6
55 kgKupfernagel
8
68 kgSoeder
10
52 kgByberg
22
56 kgMartisova
23
64 kgBecker
24
64 kgBrzeźna
29
56 kgZabelinskaya
31
52 kgRossner
32
64 kgBoyarskaya
53
67 kgFernandes Silva
56
52 kgMarunde
83
58 kgPawlowska
84
60 kgMatusiak
86
58 kgHatteland Lima
90
65 kg
Weight (KG) →
Result →
68
51
4
90
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HEEB Barbara | 51 |
| 6 | DOPPMANN Priska | 55 |
| 8 | KUPFERNAGEL Hanka | 68 |
| 10 | SOEDER Christiane | 52 |
| 22 | BYBERG Lene | 56 |
| 23 | MARTISOVA Julia | 64 |
| 24 | BECKER Charlotte | 64 |
| 29 | BRZEŹNA Paulina | 56 |
| 31 | ZABELINSKAYA Olga | 52 |
| 32 | ROSSNER Petra | 64 |
| 53 | BOYARSKAYA Natalia | 67 |
| 56 | FERNANDES SILVA Janildes | 52 |
| 83 | MARUNDE Regina | 58 |
| 84 | PAWLOWSKA Katarzyna | 60 |
| 86 | MATUSIAK Bogumiła | 58 |
| 90 | HATTELAND LIMA Tone | 65 |